{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "06d1f703",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "23ffc378cbfe4530b515ed9b90c6b3be",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] \n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "from funcs import *\n",
    "期货前缀ss = get_期货前缀ss(False)\n",
    "df_所有合约 = get_df_所有合约()\n",
    "code_delist_date_dict = get_code_delist_date_dict(df_所有合约)\n",
    "\n",
    "字母s = []\n",
    "最新价格s = []\n",
    "for 期货前缀 in tqdm(期货前缀ss):\n",
    "    df = get_df(期货前缀)\n",
    "    dd_amount = df.pivot(index='t',columns='code',values='amount')\n",
    "    df_close = df.pivot(index='t', columns='code', values='close')\n",
    "    当前主力代码 = pd.Series(dd_amount.columns[np.argsort(-dd_amount.values,axis=1)[:,0]],index=dd_amount.index).shift(1)\n",
    "    最新价格 = df_close.apply(lambda x: x.get(当前主力代码.get(x.name)), axis=1).dropna()[-1]\n",
    "    字母s.append(期货前缀)\n",
    "    最新价格s.append(最新价格)\n",
    "    \n",
    "最新价格字典 = dict(zip(字母s,最新价格s))\n",
    "\n",
    "dd_qty_param = pd.read_csv('basicdata/qty_param.csv',index_col=0)\n",
    "dd_qty_param['symbol'] = dd_qty_param.index\n",
    "dd_qty_param['symbol_x'] = dd_qty_param.index.to_series().apply(lambda x:x.upper())\n",
    "dd_qty_param.index = dd_qty_param.index.to_series().apply(lambda x:x.upper())\n",
    "dd_qty_param['price'] = dd_qty_param['symbol_x'].apply(lambda x:最新价格字典.get(x))\n",
    "dd_qty_param['per_margin'] = dd_qty_param['multiplier']*dd_qty_param['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f32be275",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e84caba7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f83cc41891174a48b5ed1df0588846c1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/77 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "KeyboardInterrupt\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pp0, pp1 = get_pp_dict(期货前缀ss)\n",
    "ddds = []\n",
    "for 期货前缀 in tqdm(期货前缀ss):\n",
    "    ddd = get_ddd(期货前缀,code_delist_date_dict,pp0,pp1)\n",
    "    ddds.append(ddd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e03f77a",
   "metadata": {},
   "outputs": [],
   "source": [
    "s_date = '2010-01-01'\n",
    "e_date = '2024-09-01'\n",
    "\n",
    "cols = ['开盘价0','最高价0','最低价0','收盘价0',\n",
    "        '交易额0','交易额1',\n",
    "        '收益率0','收益率1',\n",
    "        '展期率01','展期率02',\n",
    "        '基差率01','基差率02',\n",
    "        '基差RSI','基差均值',\n",
    "        '跳开0','跳开1',\n",
    "        '持仓0','持仓1',\n",
    "        'oi',\n",
    "        '合约x00','合约x11',\n",
    "        '合约x000','合约x111',\n",
    "        '收益率x00','收益率x000',\n",
    "        '基差率x0011'\n",
    "       ]\n",
    "\n",
    "for col in cols:\n",
    "    globals()[col] = pd.concat([x[col] for x in ddds],axis=1,keys=期货前缀ss)[s_date:e_date]\n",
    "    \n",
    "收益率m = (收益率0 + 收益率1)/2\n",
    "展期率01变化 = 展期率01.diff()\n",
    "展期率02变化 = 展期率02.diff()\n",
    "基差率01变化 = 基差率01.diff()\n",
    "基差率02变化 = 基差率02.diff()\n",
    "\n",
    "HH = 最高价0.rolling(120).max()\n",
    "LL = 最低价0.rolling(120).min()\n",
    "HC = 收盘价0.rolling(120).max()\n",
    "LC = 收盘价0.rolling(120).min()\n",
    "ATR = np.maximum(HH - LC, HC - LL)\n",
    "\n",
    "tp = 'M'\n",
    "tp1 = 'Q-JAN'\n",
    "tp2 = 'Q-FEB'\n",
    "tp3 = 'Q-MAR'\n",
    "\n",
    "con1 = 交易额0.rolling(120).mean() > 500000\n",
    "con2 = 交易额0.rolling(120).mean().rank(1,pct=True) > 0.2\n",
    "交易额过滤条件 = con1 & con2\n",
    "过滤因子 = 交易额过滤条件.resample(tp).last()\n",
    "过滤因子[['T','TF','TS','IF','IC','IH','IM']] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79bd80bc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "975fe065",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "039f1ed0",
   "metadata": {},
   "outputs": [],
   "source": [
    "类别名s = ['展期率01','展期率02','基差率01','基差率02','基差RSI','基差均值']\n",
    "参数s = ['季度一月','季度二月','季度三月','滚动21','滚动63','滚动126','滚动252','滚动378']\n",
    "季度tp字典 = {\n",
    "    '季度一月':tp1,\n",
    "    '季度二月':tp2,\n",
    "    '季度三月':tp3,\n",
    "}\n",
    "滚动tp字典 = {\n",
    "    '滚动21':21,\n",
    "    '滚动63':63,\n",
    "    '滚动126':126,\n",
    "    '滚动252':252,\n",
    "    '滚动378':378,\n",
    "}\n",
    "\n",
    "因子库1 = []\n",
    "for 类别名 in 类别名s:\n",
    "    for 参数 in 参数s:\n",
    "        if '季度' in 参数:\n",
    "            globals()[f'{类别名}{参数}'] = \\\n",
    "            globals()[类别名].resample(季度tp字典.get(参数)).mean().\\\n",
    "            resample(tp).last().fillna(method='ffill').\\\n",
    "            where(过滤因子)\n",
    "        else:\n",
    "            globals()[f'{类别名}{参数}'] = \\\n",
    "            globals()[类别名].rolling(滚动tp字典.get(参数)).mean().\\\n",
    "            resample(tp).last().\\\n",
    "            where(过滤因子)\n",
    "            \n",
    "        因子库1.append(f'{类别名}{参数}')\n",
    "        \n",
    "类别名s = ['收益率0','跳开0','展期率01变化','基差率01变化']\n",
    "参数1s = ['均值','波动','偏度','峰度','RSI']\n",
    "参数2s = ['滚动21','滚动63','滚动126','滚动252','滚动378','滚动504']\n",
    "参数3s = [f'{i}月' for i in range(1,1+11)]\n",
    "参数4s = ['季度一月','季度二月','季度三月']\n",
    "\n",
    "季度tp字典 = {\n",
    "    '季度一月':tp1,\n",
    "    '季度二月':tp2,\n",
    "    '季度三月':tp3,\n",
    "}\n",
    "\n",
    "滚动tp字典 = {\n",
    "    '滚动21':21,\n",
    "    '滚动63':63,\n",
    "    '滚动126':126,\n",
    "    '滚动252':252,\n",
    "    '滚动378':378,\n",
    "    '滚动504':504,\n",
    "    '滚动630':630,\n",
    "    '滚动756':756,\n",
    "}\n",
    "\n",
    "因子库2 = []\n",
    "for 类别名 in 类别名s:\n",
    "    for 参数1 in 参数1s:\n",
    "        for 参数2 in 参数2s:\n",
    "            if 参数1 == '均值':\n",
    "                globals()[f'{类别名}{参数1}{参数2}'] = \\\n",
    "                globals()[类别名].rolling(滚动tp字典.get(参数2)).mean().\\\n",
    "                resample(tp).last().\\\n",
    "                where(过滤因子)\n",
    "            elif 参数1 == '波动':\n",
    "                globals()[f'{类别名}{参数1}{参数2}'] = \\\n",
    "                globals()[类别名].rolling(滚动tp字典.get(参数2)).std().\\\n",
    "                resample(tp).last().\\\n",
    "                where(过滤因子)\n",
    "            elif 参数1 == '偏度':\n",
    "                globals()[f'{类别名}{参数1}{参数2}'] = \\\n",
    "                globals()[类别名].rolling(滚动tp字典.get(参数2)).skew().\\\n",
    "                resample(tp).last().\\\n",
    "                where(过滤因子)\n",
    "            elif 参数1 == '峰度':\n",
    "                globals()[f'{类别名}{参数1}{参数2}'] = \\\n",
    "                globals()[类别名].rolling(滚动tp字典.get(参数2)).kurt().\\\n",
    "                resample(tp).last().\\\n",
    "                where(过滤因子)\n",
    "            elif 参数1 == 'RSI':\n",
    "                globals()[f'{类别名}{参数1}{参数2}'] = \\\n",
    "                ((globals()[类别名]*(globals()[类别名]>0)).rolling(滚动tp字典.get(参数2)).sum()/\\\n",
    "                globals()[类别名].abs().rolling(滚动tp字典.get(参数2)).sum()).\\\n",
    "                resample(tp).last().\\\n",
    "                where(过滤因子)\n",
    "            因子库2.append(f'{类别名}{参数1}{参数2}')\n",
    "                \n",
    "for 类别名 in 类别名s:\n",
    "    for 参数3 in 参数3s:\n",
    "        n = int(参数3.strip('月'))\n",
    "        globals()[f'{类别名}双均线{参数3}'] = \\\n",
    "        (globals()[类别名].rolling(21*n).mean() - globals()[类别名].rolling(21*12).mean()).\\\n",
    "        resample(tp).last().\\\n",
    "        where(过滤因子)\n",
    "        因子库2.append(f'{类别名}双均线{参数3}')\n",
    "        \n",
    "        \n",
    "for 类别名 in 类别名s:\n",
    "    for 参数4 in 参数4s:\n",
    "        globals()[f'{类别名}{参数4}'] = \\\n",
    "        globals()[类别名].resample(季度tp字典.get(参数4)).mean().\\\n",
    "        resample(tp).last().fillna(method='ffill').\\\n",
    "        where(过滤因子)\n",
    "        因子库2.append(f'{类别名}{参数4}')\n",
    "        \n",
    "价格因子 = 收盘价0.resample(tp).last().where(过滤因子)\n",
    "ATR因子 = ATR.resample(tp).last().where(过滤因子)\n",
    "因子库3 = ['收盘价0','ATR因子']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "38c560df",
   "metadata": {},
   "outputs": [],
   "source": [
    "ddd1 = pd.concat([get_因子日度收益(globals()[因子名],因子名,收益率0,1) for 因子名 in 因子库1],axis=1)\n",
    "ddd2 = pd.concat([get_因子日度收益(globals()[因子名],因子名,收益率0,1) for 因子名 in 因子库2],axis=1)\n",
    "ddd3 = pd.concat([get_因子日度收益(globals()[因子名],因子名,收益率0,1) for 因子名 in 因子库3],axis=1)\n",
    "# ddd4x = pd.concat([get_因子日度收益(globals()[因子名],因子名,基差率x0011,1) for 因子名 in 因子库1],axis=1)\n",
    "# ddd5x = pd.concat([get_因子日度收益(globals()[因子名],因子名,基差率x0011,1) for 因子名 in 因子库2],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76afdf10",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05df9cfb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "3743b330",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "费率 = 0.0003\n",
    "the_date = '2010-01-01'\n",
    "code = '000300.SH'\n",
    "dd = pro.index_daily(ts_code=code)\n",
    "dd.index = pd.to_datetime(dd['trade_date'])\n",
    "dd = dd[['open','high','low','close']]\n",
    "dd = dd.sort_index()\n",
    "dd['pct'] = dd['close'].pct_change()\n",
    "dd['weekday'] = [x.weekday() for x in dd.index]\n",
    "\n",
    "sig1 = (dd['high'] + dd['low'] > dd['open'] + dd['close']).apply(lambda x:1 if x else -1)\n",
    "fee1 = sig1.diff().abs()*费率\n",
    "ret1 = sig1*dd['pct'].shift(-1) - fee1\n",
    "ret1 = ret1[the_date:]\n",
    "ret1.cumsum().plot(figsize=(14,6),grid=True)\n",
    "ret1.name = 'IF日度'\n",
    "\n",
    "ret2 = sig1*收益率0['IF'].shift(-1) - fee1\n",
    "ret2 = ret2[the_date:]\n",
    "ret2.cumsum().plot(figsize=(14,6),grid=True)\n",
    "ret2.name = 'IF日度'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6222c40e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "d7c24f01",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_收益率 = pd.concat([ddds[期货前缀ss.index('IH')]['收益率0'],\n",
    "                      ddds[期货前缀ss.index('IF')]['收益率0'],\n",
    "                      ddds[期货前缀ss.index('IC')]['收益率0']],axis=1)\n",
    "df_收益率.columns = ['IH','IF','IC']\n",
    "\n",
    "df_基差率 = pd.concat([ddds[期货前缀ss.index('IH')]['基差率01'],\n",
    "                      ddds[期货前缀ss.index('IF')]['基差率01'],\n",
    "                      ddds[期货前缀ss.index('IC')]['基差率01']],axis=1)\n",
    "df_基差率.columns = ['IH','IF','IC']\n",
    "\n",
    "def get_因子日度收益2(因子, 因子名, 收益率, ttp):\n",
    "    tt = 因子.rank(1) == 3\n",
    "    bb = 因子.rank(1) == 1\n",
    "\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    收益s = []\n",
    "    for i in range(len(因子) - 1):\n",
    "        s_date = 因子.index[i]\n",
    "        e_date = 因子.index[i + 1]\n",
    "        当期做多 = 做多的品种.loc[s_date].index[做多的品种.loc[s_date]]\n",
    "        当期做空 = 做空的品种.loc[s_date].index[做空的品种.loc[s_date]]\n",
    "        做多收益 = 收益率[当期做多][s_date + timedelta(days=1):e_date].mean(1) * 1\n",
    "        做空收益 = 收益率[当期做空][s_date + timedelta(days=1):e_date].mean(1) * -1\n",
    "        收益 = (做多收益 + 做空收益) / 2\n",
    "        # 收益 = 做多收益\n",
    "        收益s.append(收益)\n",
    "    rr = pd.concat(收益s)\n",
    "    rr.name = 因子名\n",
    "    return rr\n",
    "\n",
    "rr = get_因子日度收益2(df_基差率.rolling(120).mean().resample('M').last(), '股指基差', df_收益率, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "66a05e50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='t'>"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "油脂类 = ['Y','P','OI','A','B']\n",
    "有色类 = ['CU','AL','NI','SN','PB','ZN','BC']\n",
    "黑色类 = ['I','RB','HC','J','JM','SF','SM','SS']\n",
    "黑色类 = ['I','RB','HC','J','JM','SF','SM']\n",
    "贵金属 = ['AU','AG']\n",
    "饲料类 = ['M','RM']\n",
    "农副类 = ['CF','SR','LH','AP','JD','CS','CY']\n",
    "\n",
    "xxx = 黑色类\n",
    "\n",
    "\n",
    "sig = 展期率01[xxx].resample('M').mean().mean(1).apply(lambda x:1 if x > 0 else -1)\n",
    "ret = 收益率0[xxx].resample('M').mean().mean(1).shift(-1)\n",
    "# rr = sig*ret\n",
    "\n",
    "收益s = []\n",
    "for i in range(len(sig) - 1):\n",
    "    s_date = sig.index[i]\n",
    "    e_date = sig.index[i + 1]\n",
    "    if sig[s_date] == 1:\n",
    "        收益 = 收益率0[xxx][s_date + timedelta(days=1):e_date].mean(1)\n",
    "    else:\n",
    "        收益 = -收益率0[xxx][s_date + timedelta(days=1):e_date].mean(1)\n",
    "    收益s.append(收益)\n",
    "rr2 = pd.concat(收益s)\n",
    "rr2.cumsum().plot(figsize=(14,6),grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "6335d77a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3538"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list(rr2.index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "a5afcff0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3538"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(list(rr2.index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "1fbbe4dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "t\n",
       "2010-05-04         NaN\n",
       "2010-05-05         NaN\n",
       "2010-05-06         NaN\n",
       "2010-05-07         NaN\n",
       "2010-05-10         NaN\n",
       "                ...   \n",
       "2024-08-19   -0.000442\n",
       "2024-08-20   -0.001874\n",
       "2024-08-21    0.000478\n",
       "2024-08-22   -0.001472\n",
       "2024-08-23   -0.000956\n",
       "Name: 股指基差, Length: 3479, dtype: float64"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f88442af",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "f19964d0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "the_date = '2022-01-01'\n",
    "展期因子 = ['基差率01滚动126','基差率01滚动252','基差率01滚动378']\n",
    "动量因子 = ['收益率0双均线11月']\n",
    "反转因子 = ['跳开0季度二月','跳开0季度三月','展期率01变化偏度滚动126','收益率0双均线6月']\n",
    "正套因子 = ['基差率01滚动126','基差率01滚动252']\n",
    "反套因子 = ['跳开0季度二月','展期率01变化偏度2滚动126','收益率0双均线6月']\n",
    "国债 = pd.concat([收益率0['T'],收益率0['TF'],收益率0['TS']],axis=1)\n",
    "dddd = pd.concat([ddd1[展期因子].mean(1),\n",
    "                  ddd2[动量因子].mean(1),\n",
    "                  -ddd2[反转因子].mean(1),\n",
    "                  国债.mean(1),\n",
    "                  ret1,\n",
    "                  rr,\n",
    "                  rr2,\n",
    "#                   ddd4x[正套因子].mean(1),\n",
    "#                   -ddd5x[反套因子].mean(1)\n",
    "                 ],axis=1)\n",
    "\n",
    "dddd.columns = ['展期','动量','反转','国债','股指日度','股指月度','黑色行业展期',\n",
    "#                 '正套','反套'\n",
    "               ]\n",
    "dddd[the_date:].mean(1).cumsum().plot(figsize=(14,6),grid=True)\n",
    "dddd[the_date:].cumsum().plot(figsize=(14,6),grid=True)\n",
    "# cal夏普比率(dddd[the_date:].mean(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "1ae8aeb1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>展期</th>\n",
       "      <th>动量</th>\n",
       "      <th>反转</th>\n",
       "      <th>国债</th>\n",
       "      <th>股指日度</th>\n",
       "      <th>股指月度</th>\n",
       "      <th>黑色行业展期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007549</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.020441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.003099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>-0.000648</td>\n",
       "      <td>0.007232</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.000441</td>\n",
       "      <td>-0.007228</td>\n",
       "      <td>-0.000442</td>\n",
       "      <td>-0.007456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>-0.000317</td>\n",
       "      <td>0.002105</td>\n",
       "      <td>-0.000886</td>\n",
       "      <td>-0.000035</td>\n",
       "      <td>0.002721</td>\n",
       "      <td>-0.001874</td>\n",
       "      <td>-0.001570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>-0.005084</td>\n",
       "      <td>0.004182</td>\n",
       "      <td>0.002289</td>\n",
       "      <td>-0.001885</td>\n",
       "      <td>-0.003159</td>\n",
       "      <td>0.000478</td>\n",
       "      <td>-0.025618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>0.001952</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.000339</td>\n",
       "      <td>0.002278</td>\n",
       "      <td>-0.004842</td>\n",
       "      <td>-0.001472</td>\n",
       "      <td>0.016198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>0.007554</td>\n",
       "      <td>-0.000389</td>\n",
       "      <td>-0.000878</td>\n",
       "      <td>0.000883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>0.011843</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3558 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  展期        动量        反转        国债      股指日度      股指月度  \\\n",
       "2010-01-04       NaN       NaN       NaN       NaN  0.007549       NaN   \n",
       "2010-01-05       NaN       NaN       NaN       NaN  0.005660       NaN   \n",
       "2010-01-06       NaN       NaN       NaN       NaN -0.020441       NaN   \n",
       "2010-01-07       NaN       NaN       NaN       NaN -0.003099       NaN   \n",
       "2010-01-08       NaN       NaN       NaN       NaN -0.000552       NaN   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2024-08-19 -0.000648  0.007232  0.001374  0.000441 -0.007228 -0.000442   \n",
       "2024-08-20 -0.000317  0.002105 -0.000886 -0.000035  0.002721 -0.001874   \n",
       "2024-08-21 -0.005084  0.004182  0.002289 -0.001885 -0.003159  0.000478   \n",
       "2024-08-22  0.001952  0.002226  0.000339  0.002278 -0.004842 -0.001472   \n",
       "2024-08-23  0.007554 -0.000389 -0.000878  0.000883       NaN -0.000956   \n",
       "\n",
       "              黑色行业展期  \n",
       "2010-01-04       NaN  \n",
       "2010-01-05       NaN  \n",
       "2010-01-06       NaN  \n",
       "2010-01-07       NaN  \n",
       "2010-01-08       NaN  \n",
       "...              ...  \n",
       "2024-08-19 -0.007456  \n",
       "2024-08-20 -0.001570  \n",
       "2024-08-21 -0.025618  \n",
       "2024-08-22  0.016198  \n",
       "2024-08-23  0.011843  \n",
       "\n",
       "[3558 rows x 7 columns]"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dddd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d894096",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "4732eaca",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 收益率0['T'].cumsum().plot(figsize=(14,6),grid=True)\n",
    "# 收益率0['IF'].cumsum().plot(figsize=(14,6),grid=True)\n",
    "\n",
    "fig = plt.figure(figsize=(14,6))\n",
    "ax1 = fig.add_subplot(111)\n",
    "ax1.plot(收益率0['T'].cumsum())\n",
    "ax1.grid()\n",
    "ax2 = ax1.twinx() \n",
    "ax2.plot(收益率0['IF'].cumsum(),'r')\n",
    "ax2.plot(收益率0.mean(1).cumsum(),'g')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "6fa19fe2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>展期</th>\n",
       "      <th>动量</th>\n",
       "      <th>反转</th>\n",
       "      <th>国债</th>\n",
       "      <th>股指日度</th>\n",
       "      <th>股指月度</th>\n",
       "      <th>黑色行业展期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007549</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.020441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.003099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-19</th>\n",
       "      <td>-0.000648</td>\n",
       "      <td>0.007232</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.000441</td>\n",
       "      <td>-0.007228</td>\n",
       "      <td>-0.000442</td>\n",
       "      <td>-0.007456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-20</th>\n",
       "      <td>-0.000317</td>\n",
       "      <td>0.002105</td>\n",
       "      <td>-0.000886</td>\n",
       "      <td>-0.000035</td>\n",
       "      <td>0.002721</td>\n",
       "      <td>-0.001874</td>\n",
       "      <td>-0.001570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-21</th>\n",
       "      <td>-0.005084</td>\n",
       "      <td>0.004182</td>\n",
       "      <td>0.002289</td>\n",
       "      <td>-0.001885</td>\n",
       "      <td>-0.003159</td>\n",
       "      <td>0.000478</td>\n",
       "      <td>-0.025618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-22</th>\n",
       "      <td>0.001952</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.000339</td>\n",
       "      <td>0.002278</td>\n",
       "      <td>-0.004842</td>\n",
       "      <td>-0.001472</td>\n",
       "      <td>0.016198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-23</th>\n",
       "      <td>0.007554</td>\n",
       "      <td>-0.000389</td>\n",
       "      <td>-0.000878</td>\n",
       "      <td>0.000883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>0.011843</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3558 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  展期        动量        反转        国债      股指日度      股指月度  \\\n",
       "2010-01-04       NaN       NaN       NaN       NaN  0.007549       NaN   \n",
       "2010-01-05       NaN       NaN       NaN       NaN  0.005660       NaN   \n",
       "2010-01-06       NaN       NaN       NaN       NaN -0.020441       NaN   \n",
       "2010-01-07       NaN       NaN       NaN       NaN -0.003099       NaN   \n",
       "2010-01-08       NaN       NaN       NaN       NaN -0.000552       NaN   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2024-08-19 -0.000648  0.007232  0.001374  0.000441 -0.007228 -0.000442   \n",
       "2024-08-20 -0.000317  0.002105 -0.000886 -0.000035  0.002721 -0.001874   \n",
       "2024-08-21 -0.005084  0.004182  0.002289 -0.001885 -0.003159  0.000478   \n",
       "2024-08-22  0.001952  0.002226  0.000339  0.002278 -0.004842 -0.001472   \n",
       "2024-08-23  0.007554 -0.000389 -0.000878  0.000883       NaN -0.000956   \n",
       "\n",
       "              黑色行业展期  \n",
       "2010-01-04       NaN  \n",
       "2010-01-05       NaN  \n",
       "2010-01-06       NaN  \n",
       "2010-01-07       NaN  \n",
       "2010-01-08       NaN  \n",
       "...              ...  \n",
       "2024-08-19 -0.007456  \n",
       "2024-08-20 -0.001570  \n",
       "2024-08-21 -0.025618  \n",
       "2024-08-22  0.016198  \n",
       "2024-08-23  0.011843  \n",
       "\n",
       "[3558 rows x 7 columns]"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dddd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac0325a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "db6a9478",
   "metadata": {},
   "outputs": [],
   "source": [
    "ddd1[展期因子].to_csv('展期因子.csv')\n",
    "ddd2[动量因子].to_csv('动量因子.csv')\n",
    "(-ddd2[反转因子]).to_csv('反转因子.csv')\n",
    "# ddd4x[正套因子].to_csv('正套因子.csv')\n",
    "# (-ddd5x[反套因子]).to_csv('反套因子.csv')\n",
    "dddd.to_csv('因子收益率.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e9044455",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "the_date = '2024-01-01'\n",
    "(ww.round(3)*dddd)[the_date:].sum(1).cumsum().plot(figsize=(14,6),grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3e3986a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IF日度    0.248738\n",
       "股指基差    0.751262\n",
       "dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ww"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3225f747",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b594859e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "60c27e03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "the_date = '2012-01-01'\n",
    "dddd['动量'][the_date:].cumsum().plot(figsize=(14,6),grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "d525c062",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>展期</th>\n",
       "      <th>动量</th>\n",
       "      <th>反转</th>\n",
       "      <th>国债</th>\n",
       "      <th>股指日度</th>\n",
       "      <th>股指月度</th>\n",
       "      <th>正套</th>\n",
       "      <th>反套</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-31</th>\n",
       "      <td>-0.000613</td>\n",
       "      <td>0.002853</td>\n",
       "      <td>-0.002317</td>\n",
       "      <td>0.000844</td>\n",
       "      <td>-0.007229</td>\n",
       "      <td>-0.010619</td>\n",
       "      <td>-0.001084</td>\n",
       "      <td>-0.000394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>0.004308</td>\n",
       "      <td>-0.002240</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000952</td>\n",
       "      <td>-0.010199</td>\n",
       "      <td>-0.000835</td>\n",
       "      <td>0.002455</td>\n",
       "      <td>-0.000644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-02</th>\n",
       "      <td>-0.003893</td>\n",
       "      <td>0.000760</td>\n",
       "      <td>-0.000561</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>-0.012136</td>\n",
       "      <td>-0.002368</td>\n",
       "      <td>-0.000849</td>\n",
       "      <td>0.000622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-05</th>\n",
       "      <td>-0.007374</td>\n",
       "      <td>0.003084</td>\n",
       "      <td>-0.001327</td>\n",
       "      <td>0.001117</td>\n",
       "      <td>-0.000102</td>\n",
       "      <td>-0.002036</td>\n",
       "      <td>-0.000092</td>\n",
       "      <td>-0.000538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-06</th>\n",
       "      <td>0.000723</td>\n",
       "      <td>-0.004340</td>\n",
       "      <td>0.001223</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002960</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>-0.000325</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3545 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  展期        动量        反转        国债      股指日度      股指月度  \\\n",
       "2010-01-04       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-05       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-06       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-07       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-08       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2024-07-31 -0.000613  0.002853 -0.002317  0.000844 -0.007229 -0.010619   \n",
       "2024-08-01  0.004308 -0.002240  0.000386  0.000952 -0.010199 -0.000835   \n",
       "2024-08-02 -0.003893  0.000760 -0.000561  0.000219 -0.012136 -0.002368   \n",
       "2024-08-05 -0.007374  0.003084 -0.001327  0.001117 -0.000102 -0.002036   \n",
       "2024-08-06  0.000723 -0.004340  0.001223 -0.001250       NaN  0.002960   \n",
       "\n",
       "                  正套        反套  \n",
       "2010-01-04       NaN       NaN  \n",
       "2010-01-05       NaN       NaN  \n",
       "2010-01-06       NaN       NaN  \n",
       "2010-01-07       NaN       NaN  \n",
       "2010-01-08       NaN       NaN  \n",
       "...              ...       ...  \n",
       "2024-07-31 -0.001084 -0.000394  \n",
       "2024-08-01  0.002455 -0.000644  \n",
       "2024-08-02 -0.000849  0.000622  \n",
       "2024-08-05 -0.000092 -0.000538  \n",
       "2024-08-06  0.001956 -0.000325  \n",
       "\n",
       "[3545 rows x 8 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dddd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "bab3ecb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "展期      0.093851\n",
       "动量      0.079086\n",
       "反转      0.124734\n",
       "国债      0.347430\n",
       "股指日度    0.034004\n",
       "股指月度    0.086877\n",
       "正套      0.089373\n",
       "反套      0.144645\n",
       "dtype: float64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "c73001c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "展期      0.060\n",
       "动量      0.071\n",
       "反转      0.045\n",
       "国债      0.016\n",
       "股指日度    0.165\n",
       "股指月度    0.065\n",
       "正套      0.021\n",
       "反套      0.013\n",
       "dtype: float64"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(dddd[the_date:].std()*(252**0.5)).round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4de87a50",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "e9a3cacf",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.4662855539207906\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "the_date = '2020-01-01'\n",
    "ddddx = dddd.drop(['黑色行业展期'],axis=1).copy()\n",
    "ddddx = dddd.copy()\n",
    "\n",
    "w = (1/ddddx[the_date:].std())/(1/ddddx[the_date:].std()).sum()\n",
    "# w['正套'] /= 3\n",
    "# w['反套'] /= 3\n",
    "w = w/w.sum()\n",
    "\n",
    "rrr = (w*ddddx).sum(1)\n",
    "\n",
    "the_date = '2022-01-01'\n",
    "sp = (250**0.5)*rrr[the_date:].mean()/rrr[the_date:].std()\n",
    "print(sp)\n",
    "rrr[the_date:].cumsum().plot(figsize=(14,6),grid=True)\n",
    "# cal夏普比率(rrr[the_date:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "c835d626",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>展期</th>\n",
       "      <th>动量</th>\n",
       "      <th>反转</th>\n",
       "      <th>国债</th>\n",
       "      <th>股指日度</th>\n",
       "      <th>股指月度</th>\n",
       "      <th>黑色行业展期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>展期</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.086545</td>\n",
       "      <td>-0.024409</td>\n",
       "      <td>0.032563</td>\n",
       "      <td>0.046311</td>\n",
       "      <td>-0.074981</td>\n",
       "      <td>0.290856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>动量</th>\n",
       "      <td>0.086545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.015334</td>\n",
       "      <td>0.003099</td>\n",
       "      <td>0.071079</td>\n",
       "      <td>-0.040589</td>\n",
       "      <td>0.023291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>反转</th>\n",
       "      <td>-0.024409</td>\n",
       "      <td>-0.015334</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.018736</td>\n",
       "      <td>0.067578</td>\n",
       "      <td>0.001944</td>\n",
       "      <td>0.032774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>国债</th>\n",
       "      <td>0.032563</td>\n",
       "      <td>0.003099</td>\n",
       "      <td>0.018736</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.066393</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.109432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>股指日度</th>\n",
       "      <td>0.046311</td>\n",
       "      <td>0.071079</td>\n",
       "      <td>0.067578</td>\n",
       "      <td>0.066393</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.018610</td>\n",
       "      <td>0.017528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>股指月度</th>\n",
       "      <td>-0.074981</td>\n",
       "      <td>-0.040589</td>\n",
       "      <td>0.001944</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>0.018610</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.060591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>黑色行业展期</th>\n",
       "      <td>0.290856</td>\n",
       "      <td>0.023291</td>\n",
       "      <td>0.032774</td>\n",
       "      <td>-0.109432</td>\n",
       "      <td>0.017528</td>\n",
       "      <td>-0.060591</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              展期        动量        反转        国债      股指日度      股指月度    黑色行业展期\n",
       "展期      1.000000  0.086545 -0.024409  0.032563  0.046311 -0.074981  0.290856\n",
       "动量      0.086545  1.000000 -0.015334  0.003099  0.071079 -0.040589  0.023291\n",
       "反转     -0.024409 -0.015334  1.000000  0.018736  0.067578  0.001944  0.032774\n",
       "国债      0.032563  0.003099  0.018736  1.000000  0.066393  0.011836 -0.109432\n",
       "股指日度    0.046311  0.071079  0.067578  0.066393  1.000000  0.018610  0.017528\n",
       "股指月度   -0.074981 -0.040589  0.001944  0.011836  0.018610  1.000000 -0.060591\n",
       "黑色行业展期  0.290856  0.023291  0.032774 -0.109432  0.017528 -0.060591  1.000000"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dddd['2014-01-01':].resample('W').sum().corr('spearman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc9de114",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96f146f1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "373cdea0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.0009464692240902495"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rrr['2024-07-31':].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7494cf23",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='t'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "收益率0[['CU','BC']].dropna().cumsum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "59058a91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='t'>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xx = 'T'\n",
    "the_date = '2023-01-01'\n",
    "# 持仓0[xx][the_date:].plot()\n",
    "(持仓0 + 持仓1)[xx][the_date:].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1fdba495",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0dd039c6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd1a2ac0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9af6a144",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "251ad3cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.031181196102480314, 0.025565844737894715, 1.2196427077671446)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def cal年化收益率(dd):\n",
    "    return (250**1)*dd.mean()\n",
    "def cal夏普比率(dd):\n",
    "    return (250**0.5)*dd.mean()/dd.std()\n",
    "def cal最大回撤(dd):\n",
    "    return (dd.cumsum().cummax() - dd.cumsum()).max()\n",
    "\n",
    "the_date = '2014-01-01'\n",
    "x1 = cal年化收益率(rrr[the_date:])\n",
    "x2 = cal最大回撤(rrr[the_date:])\n",
    "x1,x2,x1/x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "id": "67fa2c1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15.255904098657648"
      ]
     },
     "execution_count": 284,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.4/x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "id": "2a4f0583",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15.267175572519085"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.4/0.0262"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b2f537a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2f5630b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "id": "d941e8bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "account_name = 'CP'\n",
    "\n",
    "账户资金 = 7300000\n",
    "杠杆 = 15.27\n",
    "thres = 0.2\n",
    "the_date = '2024-07-31'\n",
    "date = '2024-07-31'\n",
    "\n",
    "ttps = {'展期因子':1,'动量因子':1,'反转因子':-1,'正套因子':1,'反套因子':-1}\n",
    "总投资额 = 账户资金*杠杆"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "fa9129f3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "tp1 = '非套利'\n",
    "\n",
    "dd_qtys = []\n",
    "\n",
    "因子投资比例 = w['展期']/len(展期因子)\n",
    "因子投资额 = 总投资额*因子投资比例\n",
    "ttp = ttps.get('展期因子')\n",
    "for i in range(len(展期因子)):\n",
    "    name = 展期因子[i]\n",
    "    因子 = globals()[name].copy()\n",
    "\n",
    "    tt = 因子.rank(1, pct=True) > 1 - thres\n",
    "    bb = 因子.rank(1, pct=True) < thres\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    做多的品种 = 做多的品种.loc[the_date][做多的品种.loc[the_date]].index.tolist()\n",
    "    做空的品种 = 做空的品种.loc[the_date][做空的品种.loc[the_date]].index.tolist()\n",
    "\n",
    "    做多单个品种投资额 = 因子投资额/2/len(做多的品种)\n",
    "    做空单个品种投资额 = 因子投资额/2/len(做空的品种)\n",
    "    做多qty = [做多单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做多的品种]\n",
    "    做空qty = [-做空单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做空的品种]\n",
    "    dd_qty1 = pd.DataFrame({'品种':做多的品种,'qty':做多qty})\n",
    "    dd_qty2 = pd.DataFrame({'品种':做空的品种,'qty':做空qty})\n",
    "    dd_qty = pd.concat([dd_qty1,dd_qty2]).reset_index(drop=True)\n",
    "    dd_qty['因子'] = name\n",
    "    dd_qtys.append(dd_qty)\n",
    "    \n",
    "    \n",
    "因子投资比例 = w['动量']/len(动量因子)\n",
    "因子投资额 = 总投资额*因子投资比例\n",
    "ttp = ttps.get('动量因子')\n",
    "for i in range(len(动量因子)):\n",
    "    name = 动量因子[i]\n",
    "    因子 = globals()[name].copy()\n",
    "\n",
    "    tt = 因子.rank(1, pct=True) > 1 - thres\n",
    "    bb = 因子.rank(1, pct=True) < thres\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    做多的品种 = 做多的品种.loc[the_date][做多的品种.loc[the_date]].index.tolist()\n",
    "    做空的品种 = 做空的品种.loc[the_date][做空的品种.loc[the_date]].index.tolist()\n",
    "\n",
    "    做多单个品种投资额 = 因子投资额/2/len(做多的品种)\n",
    "    做空单个品种投资额 = 因子投资额/2/len(做空的品种)\n",
    "    做多qty = [做多单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做多的品种]\n",
    "    做空qty = [-做空单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做空的品种]\n",
    "    dd_qty1 = pd.DataFrame({'品种':做多的品种,'qty':做多qty})\n",
    "    dd_qty2 = pd.DataFrame({'品种':做空的品种,'qty':做空qty})\n",
    "    dd_qty = pd.concat([dd_qty1,dd_qty2]).reset_index(drop=True)\n",
    "    dd_qty['因子'] = name\n",
    "    dd_qtys.append(dd_qty)\n",
    "    \n",
    "    \n",
    "因子投资比例 = w['反转']/len(反转因子)\n",
    "因子投资额 = 总投资额*因子投资比例\n",
    "ttp = ttps.get('反转因子')\n",
    "for i in range(len(反转因子)):\n",
    "    name = 反转因子[i]\n",
    "    因子 = globals()[name].copy()\n",
    "\n",
    "    tt = 因子.rank(1, pct=True) > 1 - thres\n",
    "    bb = 因子.rank(1, pct=True) < thres\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    做多的品种 = 做多的品种.loc[the_date][做多的品种.loc[the_date]].index.tolist()\n",
    "    做空的品种 = 做空的品种.loc[the_date][做空的品种.loc[the_date]].index.tolist()\n",
    "\n",
    "    做多单个品种投资额 = 因子投资额/2/len(做多的品种)\n",
    "    做空单个品种投资额 = 因子投资额/2/len(做空的品种)\n",
    "    做多qty = [做多单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做多的品种]\n",
    "    做空qty = [-做空单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做空的品种]\n",
    "    dd_qty1 = pd.DataFrame({'品种':做多的品种,'qty':做多qty})\n",
    "    dd_qty2 = pd.DataFrame({'品种':做空的品种,'qty':做空qty})\n",
    "    dd_qty = pd.concat([dd_qty1,dd_qty2]).reset_index(drop=True)\n",
    "    dd_qty['因子'] = name\n",
    "    dd_qtys.append(dd_qty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e44ecfe0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "id": "0ec6c001",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净头寸市值: -72.29\n",
      "市值总额: 1691.65\n",
      "保证金总额: 196.05\n"
     ]
    }
   ],
   "source": [
    "the_date = '2024-07-31'\n",
    "df_qty = pd.concat(dd_qtys)\n",
    "df_qty = df_qty.groupby(['品种']).sum(numeric_only=True).sort_index()\n",
    "df_qty['qty取整'] = df_qty.round()\n",
    "df_qty['市值'] = (dd_qty_param['per_margin']*df_qty['qty取整']).dropna()/10000\n",
    "df_qty['保证金'] = (df_qty['市值']*dd_qty_param['margin']).dropna().abs()\n",
    "df_qty = df_qty.sort_values(by=['市值'])\n",
    "df_qty['近月合约'] = df_qty.index.map(合约x00.loc[the_date])\n",
    "df_qty['远月合约'] = df_qty.index.map(合约x11.loc[the_date])\n",
    "df_qty['近月合约2'] = df_qty.index.map(合约x000.loc[the_date])\n",
    "df_qty['远月合约2'] = df_qty.index.map(合约x111.loc[the_date])\n",
    "df_qty = df_qty[df_qty['qty取整']!=0]\n",
    "df_qty非套利 = df_qty.sort_values(by=['市值'])\n",
    "print('净头寸市值:',df_qty非套利['市值'].sum().round(2))\n",
    "print('市值总额:',df_qty非套利['市值'].abs().sum().round(2))\n",
    "print('保证金总额:',df_qty非套利['保证金'].abs().sum().round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "7188d92f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qty</th>\n",
       "      <th>qty取整</th>\n",
       "      <th>市值</th>\n",
       "      <th>保证金</th>\n",
       "      <th>近月合约</th>\n",
       "      <th>远月合约</th>\n",
       "      <th>近月合约2</th>\n",
       "      <th>远月合约2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>品种</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LH</th>\n",
       "      <td>-5.241726</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-149.4000</td>\n",
       "      <td>17.928000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2411</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>-48.614176</td>\n",
       "      <td>-49.0</td>\n",
       "      <td>-118.8740</td>\n",
       "      <td>17.831100</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SM</th>\n",
       "      <td>-30.698943</td>\n",
       "      <td>-31.0</td>\n",
       "      <td>-105.0280</td>\n",
       "      <td>12.603360</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG</th>\n",
       "      <td>-29.921005</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>-82.5000</td>\n",
       "      <td>7.425000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UR</th>\n",
       "      <td>-18.195733</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>-73.5480</td>\n",
       "      <td>7.354800</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JD</th>\n",
       "      <td>-15.920417</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-63.2160</td>\n",
       "      <td>5.689440</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>-0.575005</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-58.0400</td>\n",
       "      <td>8.706000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SS</th>\n",
       "      <td>-7.826494</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-56.3200</td>\n",
       "      <td>5.068800</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>-11.530227</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-37.1160</td>\n",
       "      <td>3.711600</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NR</th>\n",
       "      <td>-1.599283</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-24.1500</td>\n",
       "      <td>2.415000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>-2.850600</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>-20.5440</td>\n",
       "      <td>2.054400</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>-1.077085</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-20.3650</td>\n",
       "      <td>4.073000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PP</th>\n",
       "      <td>-5.057310</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-19.0925</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>-8.214096</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-18.8080</td>\n",
       "      <td>2.256960</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>-1.529033</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-18.3120</td>\n",
       "      <td>2.380560</td>\n",
       "      <td>2409</td>\n",
       "      <td>2411</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SF</th>\n",
       "      <td>-5.072777</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-16.6550</td>\n",
       "      <td>1.998600</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OI</th>\n",
       "      <td>1.229812</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.4190</td>\n",
       "      <td>0.757710</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>0.924404</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.2005</td>\n",
       "      <td>1.344060</td>\n",
       "      <td>2410</td>\n",
       "      <td>2412</td>\n",
       "      <td>2410</td>\n",
       "      <td>2412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>5.473621</td>\n",
       "      <td>5.0</td>\n",
       "      <td>17.6900</td>\n",
       "      <td>1.592100</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HC</th>\n",
       "      <td>6.244684</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.8740</td>\n",
       "      <td>2.713620</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CF</th>\n",
       "      <td>3.070708</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.2250</td>\n",
       "      <td>1.485750</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RB</th>\n",
       "      <td>6.531947</td>\n",
       "      <td>7.0</td>\n",
       "      <td>23.2820</td>\n",
       "      <td>3.026660</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JM</th>\n",
       "      <td>3.360204</td>\n",
       "      <td>3.0</td>\n",
       "      <td>26.2980</td>\n",
       "      <td>5.259600</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RU</th>\n",
       "      <td>2.243290</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.6000</td>\n",
       "      <td>2.860000</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CU</th>\n",
       "      <td>1.380163</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.2350</td>\n",
       "      <td>4.468200</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>4.127515</td>\n",
       "      <td>4.0</td>\n",
       "      <td>37.6100</td>\n",
       "      <td>5.265400</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZN</th>\n",
       "      <td>4.288657</td>\n",
       "      <td>4.0</td>\n",
       "      <td>45.6800</td>\n",
       "      <td>6.395200</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>5.690219</td>\n",
       "      <td>6.0</td>\n",
       "      <td>45.8160</td>\n",
       "      <td>4.123440</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FU</th>\n",
       "      <td>13.959836</td>\n",
       "      <td>14.0</td>\n",
       "      <td>46.6060</td>\n",
       "      <td>6.990900</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EG</th>\n",
       "      <td>10.523520</td>\n",
       "      <td>11.0</td>\n",
       "      <td>51.1940</td>\n",
       "      <td>6.143280</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2410</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>6.320577</td>\n",
       "      <td>6.0</td>\n",
       "      <td>57.4050</td>\n",
       "      <td>6.888600</td>\n",
       "      <td>2409</td>\n",
       "      <td>2410</td>\n",
       "      <td>2410</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>8.890630</td>\n",
       "      <td>9.0</td>\n",
       "      <td>69.1200</td>\n",
       "      <td>8.985600</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>32.053617</td>\n",
       "      <td>32.0</td>\n",
       "      <td>79.7120</td>\n",
       "      <td>6.376960</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2411</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SR</th>\n",
       "      <td>13.266201</td>\n",
       "      <td>13.0</td>\n",
       "      <td>80.5480</td>\n",
       "      <td>5.638360</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P</th>\n",
       "      <td>13.354232</td>\n",
       "      <td>13.0</td>\n",
       "      <td>101.1660</td>\n",
       "      <td>12.139920</td>\n",
       "      <td>2409</td>\n",
       "      <td>2501</td>\n",
       "      <td>2501</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          qty  qty取整        市值        保证金  近月合约  远月合约 近月合约2 远月合约2\n",
       "品种                                                               \n",
       "LH  -5.241726   -5.0 -149.4000  17.928000  2409  2411  2411  2501\n",
       "RM -48.614176  -49.0 -118.8740  17.831100  2409  2501  2501  2505\n",
       "SM -30.698943  -31.0 -105.0280  12.603360  2409  2501  2410  2501\n",
       "FG -29.921005  -30.0  -82.5000   7.425000  2409  2501  2410  2501\n",
       "UR -18.195733  -18.0  -73.5480   7.354800  2409  2501  2410  2501\n",
       "JD -15.920417  -16.0  -63.2160   5.689440  2409  2501  2410  2501\n",
       "SC  -0.575005   -1.0  -58.0400   8.706000  2409  2410  2410  2411\n",
       "SS  -7.826494   -8.0  -56.3200   5.068800  2409  2410  2410  2411\n",
       "M  -11.530227  -12.0  -37.1160   3.711600  2409  2501  2501  2505\n",
       "NR  -1.599283   -2.0  -24.1500   2.415000  2409  2410  2410  2411\n",
       "AP  -2.850600   -3.0  -20.5440   2.054400  2410  2501  2410  2501\n",
       "J   -1.077085   -1.0  -20.3650   4.073000  2409  2501  2410  2501\n",
       "PP  -5.057310   -5.0  -19.0925   2.100175  2409  2501  2410  2501\n",
       "C   -8.214096   -8.0  -18.8080   2.256960  2409  2501  2411  2501\n",
       "PG  -1.529033   -2.0  -18.3120   2.380560  2409  2411  2410  2411\n",
       "SF  -5.072777   -5.0  -16.6550   1.998600  2409  2410  2410  2411\n",
       "OI   1.229812    1.0    8.4190   0.757710  2409  2501  2411  2501\n",
       "AG   0.924404    1.0   11.2005   1.344060  2410  2412  2410  2412\n",
       "SA   5.473621    5.0   17.6900   1.592100  2409  2501  2410  2501\n",
       "HC   6.244684    6.0   20.8740   2.713620  2410  2501  2410  2501\n",
       "CF   3.070708    3.0   21.2250   1.485750  2409  2501  2501  2505\n",
       "RB   6.531947    7.0   23.2820   3.026660  2410  2501  2410  2501\n",
       "JM   3.360204    3.0   26.2980   5.259600  2409  2501  2411  2501\n",
       "RU   2.243290    2.0   28.6000   2.860000  2409  2501  2411  2501\n",
       "CU   1.380163    1.0   37.2350   4.468200  2409  2410  2410  2411\n",
       "PB   4.127515    4.0   37.6100   5.265400  2409  2410  2410  2411\n",
       "ZN   4.288657    4.0   45.6800   6.395200  2409  2410  2410  2411\n",
       "Y    5.690219    6.0   45.8160   4.123440  2409  2501  2501  2505\n",
       "FU  13.959836   14.0   46.6060   6.990900  2409  2501  2410  2501\n",
       "EG  10.523520   11.0   51.1940   6.143280  2409  2501  2410  2501\n",
       "AL   6.320577    6.0   57.4050   6.888600  2409  2410  2410  2411\n",
       "I    8.890630    9.0   69.1200   8.985600  2409  2501  2501  2505\n",
       "MA  32.053617   32.0   79.7120   6.376960  2409  2501  2411  2501\n",
       "SR  13.266201   13.0   80.5480   5.638360  2409  2501  2501  2505\n",
       "P   13.354232   13.0  101.1660  12.139920  2409  2501  2501  2505"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_qty非套利"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "6160aa5a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "tp2 = '套利'\n",
    "the_date = '2024-07-31'\n",
    "date = '2024-07-31'\n",
    "dd_qtys = []\n",
    "\n",
    "因子投资比例 = w['正套']/len(正套因子)\n",
    "因子投资额 = 总投资额*因子投资比例\n",
    "ttp = ttps.get('正套因子')\n",
    "for i in range(len(正套因子)):\n",
    "    name = 正套因子[i]\n",
    "    因子 = globals()[name].copy()\n",
    "\n",
    "    tt = 因子.rank(1, pct=True) > 1 - thres\n",
    "    bb = 因子.rank(1, pct=True) < thres\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    做多的品种 = 做多的品种.loc[the_date][做多的品种.loc[the_date]].index.tolist()\n",
    "    做空的品种 = 做空的品种.loc[the_date][做空的品种.loc[the_date]].index.tolist()\n",
    "\n",
    "    做多单个品种投资额 = 因子投资额/2/len(做多的品种)\n",
    "    做空单个品种投资额 = 因子投资额/2/len(做空的品种)\n",
    "    做多qty = [做多单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做多的品种]\n",
    "    做空qty = [-做空单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做空的品种]\n",
    "    dd_qty1 = pd.DataFrame({'品种':做多的品种,'qty':做多qty})\n",
    "    dd_qty2 = pd.DataFrame({'品种':做空的品种,'qty':做空qty})\n",
    "    dd_qty = pd.concat([dd_qty1,dd_qty2]).reset_index(drop=True)\n",
    "    dd_qty['因子'] = name\n",
    "    dd_qtys.append(dd_qty)\n",
    "    \n",
    "    \n",
    "因子投资比例 = w['反套']/len(反套因子)\n",
    "因子投资额 = 总投资额*因子投资比例\n",
    "ttp = ttps.get('反套因子')\n",
    "for i in range(len(反套因子)):\n",
    "    name = 反套因子[i]\n",
    "    因子 = globals()[name].copy()\n",
    "\n",
    "    tt = 因子.rank(1, pct=True) > 1 - thres\n",
    "    bb = 因子.rank(1, pct=True) < thres\n",
    "    做多的品种 = tt if ttp == 1 else bb\n",
    "    做空的品种 = tt if ttp == -1 else bb\n",
    "    做多的品种 = 做多的品种.loc[the_date][做多的品种.loc[the_date]].index.tolist()\n",
    "    做空的品种 = 做空的品种.loc[the_date][做空的品种.loc[the_date]].index.tolist()\n",
    "\n",
    "    做多单个品种投资额 = 因子投资额/2/len(做多的品种)\n",
    "    做空单个品种投资额 = 因子投资额/2/len(做空的品种)\n",
    "    做多qty = [做多单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做多的品种]\n",
    "    做空qty = [-做空单个品种投资额/dd_qty_param.loc[x,'per_margin'] for x in 做空的品种]\n",
    "    dd_qty1 = pd.DataFrame({'品种':做多的品种,'qty':做多qty})\n",
    "    dd_qty2 = pd.DataFrame({'品种':做空的品种,'qty':做空qty})\n",
    "    dd_qty = pd.concat([dd_qty1,dd_qty2]).reset_index(drop=True)\n",
    "    dd_qty['因子'] = name\n",
    "    dd_qtys.append(dd_qty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "6d10edb8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净头寸市值: 33.44\n",
      "市值总额: 1516.92\n",
      "保证金总额: 182.55\n"
     ]
    }
   ],
   "source": [
    "the_date = '2024-07-31'\n",
    "\n",
    "df_qty = pd.concat(dd_qtys)\n",
    "df_qty = df_qty.groupby(['品种']).sum(numeric_only=True).sort_index()\n",
    "df_qty['qty取整'] = df_qty.round()\n",
    "df_qty['市值'] = (dd_qty_param['per_margin']*df_qty['qty取整']).dropna()/10000\n",
    "df_qty['保证金'] = (df_qty['市值']*dd_qty_param['margin']).dropna().abs()\n",
    "df_qty = df_qty.sort_values(by=['市值'])\n",
    "the_date2 = '2024-07-31'\n",
    "df_qty['近月合约'] = df_qty.index.map(合约x00.loc[the_date2])\n",
    "df_qty['远月合约'] = df_qty.index.map(合约x11.loc[the_date2])\n",
    "df_qty['近月合约2'] = df_qty.index.map(合约x000.loc[the_date2])\n",
    "df_qty['远月合约2'] = df_qty.index.map(合约x111.loc[the_date2])\n",
    "df_qty = df_qty[df_qty['qty取整']!=0]\n",
    "df_qty套利 = df_qty.sort_values(by=['市值'])\n",
    "print('净头寸市值:',df_qty套利['市值'].sum().round(2))\n",
    "print('市值总额:',df_qty套利['市值'].abs().sum().round(2))\n",
    "print('保证金总额:',df_qty套利['保证金'].abs().sum().round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "9822397b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_qty非套利.sort_index().to_csv(f'{account_name}{tp1}_{date}.csv')\n",
    "df_qty套利.sort_index().to_csv(f'{account_name}{tp2}_{date}.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85b219be",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "id": "c7647b4d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>近月合约</th>\n",
       "      <th>近月数量</th>\n",
       "      <th>远月合约</th>\n",
       "      <th>远月数量</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>品种</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>2410</td>\n",
       "      <td>-4</td>\n",
       "      <td>2412</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>2409</td>\n",
       "      <td>12</td>\n",
       "      <td>2410</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>2410</td>\n",
       "      <td>-6</td>\n",
       "      <td>2501</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>2409</td>\n",
       "      <td>-21</td>\n",
       "      <td>2501</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CF</th>\n",
       "      <td>2409</td>\n",
       "      <td>3</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CU</th>\n",
       "      <td>2409</td>\n",
       "      <td>1</td>\n",
       "      <td>2410</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EG</th>\n",
       "      <td>2409</td>\n",
       "      <td>11</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG</th>\n",
       "      <td>2409</td>\n",
       "      <td>-51</td>\n",
       "      <td>2501</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FU</th>\n",
       "      <td>2409</td>\n",
       "      <td>51</td>\n",
       "      <td>2501</td>\n",
       "      <td>-37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HC</th>\n",
       "      <td>2410</td>\n",
       "      <td>16</td>\n",
       "      <td>2501</td>\n",
       "      <td>-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>2409</td>\n",
       "      <td>9</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>2409</td>\n",
       "      <td>-1</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JD</th>\n",
       "      <td>2409</td>\n",
       "      <td>-24</td>\n",
       "      <td>2501</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JM</th>\n",
       "      <td>2409</td>\n",
       "      <td>1</td>\n",
       "      <td>2501</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LH</th>\n",
       "      <td>2409</td>\n",
       "      <td>-8</td>\n",
       "      <td>2411</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>2409</td>\n",
       "      <td>-12</td>\n",
       "      <td>2501</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>2409</td>\n",
       "      <td>68</td>\n",
       "      <td>2501</td>\n",
       "      <td>-36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NI</th>\n",
       "      <td>2409</td>\n",
       "      <td>-2</td>\n",
       "      <td>2410</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NR</th>\n",
       "      <td>2409</td>\n",
       "      <td>-2</td>\n",
       "      <td>2410</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OI</th>\n",
       "      <td>2409</td>\n",
       "      <td>-6</td>\n",
       "      <td>2501</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P</th>\n",
       "      <td>2409</td>\n",
       "      <td>26</td>\n",
       "      <td>2501</td>\n",
       "      <td>-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>2409</td>\n",
       "      <td>7</td>\n",
       "      <td>2410</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>2409</td>\n",
       "      <td>5</td>\n",
       "      <td>2411</td>\n",
       "      <td>-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PP</th>\n",
       "      <td>2409</td>\n",
       "      <td>-13</td>\n",
       "      <td>2501</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RB</th>\n",
       "      <td>2410</td>\n",
       "      <td>17</td>\n",
       "      <td>2501</td>\n",
       "      <td>-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>2409</td>\n",
       "      <td>-99</td>\n",
       "      <td>2501</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RU</th>\n",
       "      <td>2409</td>\n",
       "      <td>2</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>2409</td>\n",
       "      <td>5</td>\n",
       "      <td>2501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>2409</td>\n",
       "      <td>0</td>\n",
       "      <td>2410</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SF</th>\n",
       "      <td>2409</td>\n",
       "      <td>-4</td>\n",
       "      <td>2410</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SM</th>\n",
       "      <td>2409</td>\n",
       "      <td>-58</td>\n",
       "      <td>2501</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SN</th>\n",
       "      <td>2409</td>\n",
       "      <td>-1</td>\n",
       "      <td>2410</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>2409</td>\n",
       "      <td>6</td>\n",
       "      <td>2410</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SR</th>\n",
       "      <td>2409</td>\n",
       "      <td>28</td>\n",
       "      <td>2501</td>\n",
       "      <td>-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SS</th>\n",
       "      <td>2409</td>\n",
       "      <td>-8</td>\n",
       "      <td>2410</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UR</th>\n",
       "      <td>2409</td>\n",
       "      <td>-26</td>\n",
       "      <td>2501</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>2409</td>\n",
       "      <td>14</td>\n",
       "      <td>2501</td>\n",
       "      <td>-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZN</th>\n",
       "      <td>2409</td>\n",
       "      <td>4</td>\n",
       "      <td>2410</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    近月合约  近月数量  远月合约  远月数量\n",
       "品种                        \n",
       "AG  2410    -4  2412     5\n",
       "AL  2409    12  2410    -6\n",
       "AP  2410    -6  2501     4\n",
       "C   2409   -21  2501    13\n",
       "CF  2409     3  2501     0\n",
       "CU  2409     1  2410     1\n",
       "EG  2409    11  2501     0\n",
       "FG  2409   -51  2501    21\n",
       "FU  2409    51  2501   -37\n",
       "HC  2410    16  2501   -10\n",
       "I   2409     9  2501     0\n",
       "J   2409    -1  2501     0\n",
       "JD  2409   -24  2501     8\n",
       "JM  2409     1  2501     3\n",
       "LH  2409    -8  2411     3\n",
       "M   2409   -12  2501     1\n",
       "MA  2409    68  2501   -36\n",
       "NI  2409    -2  2410     2\n",
       "NR  2409    -2  2410     0\n",
       "OI  2409    -6  2501     7\n",
       "P   2409    26  2501   -12\n",
       "PB  2409     7  2410    -3\n",
       "PG  2409     5  2411    -7\n",
       "PP  2409   -13  2501     8\n",
       "RB  2410    17  2501   -10\n",
       "RM  2409   -99  2501    50\n",
       "RU  2409     2  2501     0\n",
       "SA  2409     5  2501     0\n",
       "SC  2409     0  2410    -1\n",
       "SF  2409    -4  2410    -1\n",
       "SM  2409   -58  2501    27\n",
       "SN  2409    -1  2410     1\n",
       "SP  2409     6  2410    -6\n",
       "SR  2409    28  2501   -14\n",
       "SS  2409    -8  2410     0\n",
       "UR  2409   -26  2501     7\n",
       "Y   2409    14  2501    -9\n",
       "ZN  2409     4  2410     0"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "account_name = 'CP'\n",
    "tp1 = '非套利'\n",
    "tp2 = '套利'\n",
    "date = '2024-07-31'\n",
    "dd1 = pd.read_csv(f'{account_name}{tp1}_{date}.csv',index_col=0)\n",
    "dd2 = pd.read_csv(f'{account_name}{tp2}_{date}.csv',index_col=0)\n",
    "\n",
    "加2还是加3个月 = 2\n",
    "合并前取整 = False\n",
    "\n",
    "\n",
    "xx = ''\n",
    "if 加2还是加3个月 == 2:\n",
    "    xx = ''\n",
    "else:\n",
    "    xx = '2'\n",
    "    \n",
    "if 合并前取整:\n",
    "    取整 = '取整'\n",
    "else:\n",
    "    取整 = ''\n",
    "    \n",
    "dd1['近月数量'] = dd1[f'qty{取整}']\n",
    "dd1['近月合约'] = dd1[f'近月合约{xx}']\n",
    "dd1['远月数量'] = 0\n",
    "dd1['远月合约'] = dd1[f'远月合约{xx}']\n",
    "\n",
    "dd2['近月数量'] = dd2[f'qty{取整}']\n",
    "dd2['近月合约'] = dd2[f'近月合约{xx}']\n",
    "dd2['远月数量'] = -dd2[f'qty{取整}']\n",
    "dd2['远月合约'] = dd2[f'远月合约{xx}']\n",
    "\n",
    "ddd1 = dd1[['近月数量','远月数量']]\n",
    "ddd2 = dd2[['近月数量','远月数量']]\n",
    "\n",
    "ddf1 = dd1[['近月合约','远月合约']]\n",
    "ddf2 = dd2[['近月合约','远月合约']]\n",
    "\n",
    "dd = pd.concat([ddd1,ddd2])\n",
    "dd = dd.groupby(dd.index).sum()\n",
    "\n",
    "ds = pd.concat([ddf1,ddf2])\n",
    "ds = ds.groupby(ds.index).last()\n",
    "\n",
    "dd = pd.concat([dd,ds],axis=1)\n",
    "dd[['近月数量','远月数量']] = dd[['近月数量','远月数量']].round().astype(int)\n",
    "dd = dd[['近月合约','近月数量','远月合约','远月数量']]\n",
    "dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "id": "f274f8b6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "dd.to_csv(f'商品期货目标持仓_{account_name}_{date}.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "id": "471a9cc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CP'"
      ]
     },
     "execution_count": 306,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "account_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "88bc422b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7926547064831453"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "总投资额*w['股指日度']/dd_qty_param.loc['IF','per_margin']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "e646eeec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IH</th>\n",
       "      <th>IF</th>\n",
       "      <th>IC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-04-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2010-05-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-06-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2010-08-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2024-03-31</th>\n",
       "      <td>0.000068</td>\n",
       "      <td>-0.000077</td>\n",
       "      <td>0.000115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-30</th>\n",
       "      <td>0.000028</td>\n",
       "      <td>-0.000103</td>\n",
       "      <td>0.000082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-31</th>\n",
       "      <td>-0.000020</td>\n",
       "      <td>-0.000155</td>\n",
       "      <td>0.000052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-30</th>\n",
       "      <td>-0.000009</td>\n",
       "      <td>-0.000078</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-31</th>\n",
       "      <td>-0.000048</td>\n",
       "      <td>-0.000146</td>\n",
       "      <td>-0.000129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>172 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  IH        IF        IC\n",
       "t                                       \n",
       "2010-04-30       NaN       NaN       NaN\n",
       "2010-05-31       NaN       NaN       NaN\n",
       "2010-06-30       NaN       NaN       NaN\n",
       "2010-07-31       NaN       NaN       NaN\n",
       "2010-08-31       NaN       NaN       NaN\n",
       "...              ...       ...       ...\n",
       "2024-03-31  0.000068 -0.000077  0.000115\n",
       "2024-04-30  0.000028 -0.000103  0.000082\n",
       "2024-05-31 -0.000020 -0.000155  0.000052\n",
       "2024-06-30 -0.000009 -0.000078  0.000004\n",
       "2024-07-31 -0.000048 -0.000146 -0.000129\n",
       "\n",
       "[172 rows x 3 columns]"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "股指月度策略信号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "f764972c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>展期</th>\n",
       "      <th>动量</th>\n",
       "      <th>反转</th>\n",
       "      <th>国债</th>\n",
       "      <th>股指日度</th>\n",
       "      <th>股指月度</th>\n",
       "      <th>正套</th>\n",
       "      <th>反套</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2010-01-08</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2024-07-25</th>\n",
       "      <td>-0.001559</td>\n",
       "      <td>-0.006856</td>\n",
       "      <td>0.003479</td>\n",
       "      <td>-0.000284</td>\n",
       "      <td>-0.003548</td>\n",
       "      <td>-0.002750</td>\n",
       "      <td>-0.000899</td>\n",
       "      <td>0.000230</td>\n",
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       "    <tr>\n",
       "      <th>2024-07-26</th>\n",
       "      <td>0.004355</td>\n",
       "      <td>-0.005131</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>0.000627</td>\n",
       "      <td>0.005441</td>\n",
       "      <td>-0.006397</td>\n",
       "      <td>0.000143</td>\n",
       "      <td>0.000465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-29</th>\n",
       "      <td>0.001733</td>\n",
       "      <td>0.006228</td>\n",
       "      <td>-0.000696</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.006899</td>\n",
       "      <td>0.000948</td>\n",
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       "      <td>0.000754</td>\n",
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       "    <tr>\n",
       "      <th>2024-07-30</th>\n",
       "      <td>0.001422</td>\n",
       "      <td>0.002318</td>\n",
       "      <td>-0.000582</td>\n",
       "      <td>0.000173</td>\n",
       "      <td>-0.022177</td>\n",
       "      <td>-0.002657</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.000412</td>\n",
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       "    <tr>\n",
       "      <th>2024-07-31</th>\n",
       "      <td>-0.000613</td>\n",
       "      <td>0.002853</td>\n",
       "      <td>-0.002317</td>\n",
       "      <td>0.000844</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.010619</td>\n",
       "      <td>-0.001084</td>\n",
       "      <td>-0.000394</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>3541 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  展期        动量        反转        国债      股指日度      股指月度  \\\n",
       "2010-01-04       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-05       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-06       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-07       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2010-01-08       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2024-07-25 -0.001559 -0.006856  0.003479 -0.000284 -0.003548 -0.002750   \n",
       "2024-07-26  0.004355 -0.005131  0.002309  0.000627  0.005441 -0.006397   \n",
       "2024-07-29  0.001733  0.006228 -0.000696  0.000101 -0.006899  0.000948   \n",
       "2024-07-30  0.001422  0.002318 -0.000582  0.000173 -0.022177 -0.002657   \n",
       "2024-07-31 -0.000613  0.002853 -0.002317  0.000844       NaN -0.010619   \n",
       "\n",
       "                  正套        反套  \n",
       "2010-01-04       NaN       NaN  \n",
       "2010-01-05       NaN       NaN  \n",
       "2010-01-06       NaN       NaN  \n",
       "2010-01-07       NaN       NaN  \n",
       "2010-01-08       NaN       NaN  \n",
       "...              ...       ...  \n",
       "2024-07-25 -0.000899  0.000230  \n",
       "2024-07-26  0.000143  0.000465  \n",
       "2024-07-29 -0.000571  0.000754  \n",
       "2024-07-30  0.000442  0.000412  \n",
       "2024-07-31 -0.001084 -0.000394  \n",
       "\n",
       "[3541 rows x 8 columns]"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dddd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "593f594f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd35a474",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "44d74e22",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "671d5d8e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "774f56bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'IF': 1.01, 'IH': -1.47}"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "the_date = '2024-07-31'\n",
    "ttp = -1\n",
    "股指月度策略信号 = df_基差率[:-1].rolling(120).mean().resample('M').last()\n",
    "tt = 股指月度策略信号.rank(1) == 3\n",
    "bb = 股指月度策略信号.rank(1) == 1\n",
    "\n",
    "做多的品种 = tt if ttp == 1 else bb\n",
    "做空的品种 = tt if ttp == -1 else bb\n",
    "s_date = the_date\n",
    "当期做多 = 做多的品种.loc[s_date].index[做多的品种.loc[s_date]][0]\n",
    "当期做空 = 做空的品种.loc[s_date].index[做空的品种.loc[s_date]][0]\n",
    "\n",
    "单个投资额 = 总投资额*w['股指月度']/2\n",
    "做多qty = 单个投资额/dd_qty_param.loc[当期做多,'per_margin']\n",
    "做空qty = 单个投资额/dd_qty_param.loc[当期做空,'per_margin']\n",
    "{当期做多:round(做多qty,2),当期做空:-round(做空qty,2)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "2074c9aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dddd['组合'] = (w*dddd).sum(1).cumsum().plot(figsize=(14,6),grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "dc1c956f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dddd['组合'] = (w*dddd).sum(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "f02e55d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "dddd.to_csv('因子收益率.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9d455c9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3445.0000000000005"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "3445+3364.03-3364.03"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4be1d174",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "e4a066b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'十年国债': 2.63, '五年国债': 2.67, '二年国债': 1.36}"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "单个投资额 = 总投资额*w['国债']/3\n",
    "十年国债qty = 单个投资额/dd_qty_param.loc['T','per_margin']\n",
    "五年国债qty = 单个投资额/dd_qty_param.loc['TF','per_margin']\n",
    "二年国债qty = 单个投资额/dd_qty_param.loc['TS','per_margin']\n",
    "{'十年国债':round(十年国债qty,2),'五年国债':round(五年国债qty,2),'二年国债':round(二年国债qty,2)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31d645c9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de66b69b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "b43bc439",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'十年国债': 12.38, '五年国债': 12.57, '二年国债': 6.43}"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "单个投资额 = 总投资额*w['国债']/3\n",
    "十年国债qty = 单个投资额/dd_qty_param.loc['T','per_margin']\n",
    "五年国债qty = 单个投资额/dd_qty_param.loc['TF','per_margin']\n",
    "二年国债qty = 单个投资额/dd_qty_param.loc['TS','per_margin']\n",
    "{'十年国债':round(十年国债qty,2),'五年国债':round(五年国债qty,2),'二年国债':round(二年国债qty,2)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f737cdd7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f3bbea5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de194c2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dd_国债_CP = pd.DataFrame({'近月合约':[2409,2409,2409],'近月数量':[10,10,5],'远月合约':[2410,2410,2410],'远月数量':[0,0,0]})\n",
    "dd_国债_CP.index = ['T','TF','TS']\n",
    "\n",
    "dd_股指月度_CP = pd.DataFrame({'近月合约':[2408,2408],'近月数量':[7,-9],'远月合约':[2409,2409],'远月数量':[0,0]})\n",
    "dd_股指月度_CP.index = ['IC','IH']\n",
    "\n",
    "if account_name == 'CP':\n",
    "    dd = pd.concat([dd,dd_国债_CP,dd_股指月度_CP])\n",
    "elif account_name == 'DS':\n",
    "    dd = pd.concat([dd,dd_国债_DS,dd_股指月度_DS])\n",
    "    \n",
    "dd = dd.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46ec9499",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f6f8e0a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b33ceb4f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "f278602b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>品种</th>\n",
       "      <th>qty</th>\n",
       "      <th>因子</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AP</td>\n",
       "      <td>11.319931</td>\n",
       "      <td>基差率01滚动126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FG</td>\n",
       "      <td>27.978145</td>\n",
       "      <td>基差率01滚动126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I</td>\n",
       "      <td>9.984499</td>\n",
       "      <td>基差率01滚动126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>J</td>\n",
       "      <td>3.730419</td>\n",
       "      <td>基差率01滚动126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JD</td>\n",
       "      <td>19.821418</td>\n",
       "      <td>基差率01滚动126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>I</td>\n",
       "      <td>-10.052778</td>\n",
       "      <td>收益率0双均线6月</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>J</td>\n",
       "      <td>-3.755930</td>\n",
       "      <td>收益率0双均线6月</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>JM</td>\n",
       "      <td>-8.774358</td>\n",
       "      <td>收益率0双均线6月</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RB</td>\n",
       "      <td>-23.230834</td>\n",
       "      <td>收益率0双均线6月</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SA</td>\n",
       "      <td>-21.349820</td>\n",
       "      <td>收益率0双均线6月</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    品种        qty          因子\n",
       "0   AP  11.319931  基差率01滚动126\n",
       "1   FG  27.978145  基差率01滚动126\n",
       "2    I   9.984499  基差率01滚动126\n",
       "3    J   3.730419  基差率01滚动126\n",
       "4   JD  19.821418  基差率01滚动126\n",
       "..  ..        ...         ...\n",
       "11   I -10.052778   收益率0双均线6月\n",
       "12   J  -3.755930   收益率0双均线6月\n",
       "13  JM  -8.774358   收益率0双均线6月\n",
       "14  RB -23.230834   收益率0双均线6月\n",
       "15  SA -21.349820   收益率0双均线6月\n",
       "\n",
       "[80 rows x 3 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_qty = pd.concat(dd_qtys)\n",
    "# df_qty = df_qty.groupby(['品种']).sum(numeric_only=True).sort_index()\n",
    "# df_qty['qty取整'] = df_qty.round()\n",
    "df_qty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "04527c7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "qty    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_qty.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "4a9c9973",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\56959\\AppData\\Local\\Temp\\ipykernel_29676\\3479007298.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  df_qty.groupby(['品种']).sum()\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qty</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>品种</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FU</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HC</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
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       "      <th>J</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>JD</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>JM</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LH</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RB</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RU</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SF</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SM</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SR</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>TA</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    qty\n",
       "品种     \n",
       "AP  0.0\n",
       "FG  0.0\n",
       "FU  0.0\n",
       "HC  0.0\n",
       "I   0.0\n",
       "J   0.0\n",
       "JD  0.0\n",
       "JM  0.0\n",
       "LH  0.0\n",
       "MA  0.0\n",
       "P   0.0\n",
       "PG  0.0\n",
       "RB  0.0\n",
       "RM  0.0\n",
       "RU  0.0\n",
       "SA  0.0\n",
       "SC  0.0\n",
       "SF  0.0\n",
       "SM  0.0\n",
       "SR  0.0\n",
       "TA  0.0\n",
       "Y   0.0"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_qty.groupby(['品种']).sum(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55359383",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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